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Using OpenAI API for Natural Language Processing in JavaScript.png

nodi.tar.gz

openai js

react-app

OpenAI provides access to the GPT-3 model, which can perform several operations for NLP-related tasks such as summarization, classification, text completion, text insertion, and more.   

In this course, you'll first get an introduction to the OpenAI API and the different endpoints it offers. Then you'll be provided with a step-by-step guide on how to sign up for an OpenAI account and retrieve the API key. Further, you'll be provided a hands-on guide on performing various NLP tasks using the Completions endpoint of OpenAI API. These include text classification, generation, summarization, insertion, and completing incomplete content and factual responses. You'll also be introduced to other endpoints, including editing text and converting text into embedding vectors. At the end of the course, you’ll get hands-on experience integrating OpenAI API endpoints into a React application.

By the time you're done with this course, you'll be able to work with OpenAI APIs in your projects.

Using OpenAI API for Natural Language Processing in JavaScript

## Classification

**Classification** is the process of categorizing the data into groups. In this course, we’ll focus on the text classification problem. There are many applications of text classification, including sentiment analysis, natural language inference (NLI), and grammatical verification. We’ll use the completions endpoint of OpenAI to classify the text data, which can be used to label any text without fine-tuning the model. To classify the text, we provide the task description and some optional examples with labels.




# Classification

**Classification** is the process of categorizing the data into groups. In this course, we’ll focus on the text classification problem. There are many applications of text classification, including sentiment analysis, natural language inference (NLI), and grammatical verification. We’ll use the completions endpoint of OpenAI to classify the text data, which can be used to label any text without fine-tuning the model. To classify the text, we provide the task description and some optional examples with labels.




Learn how to perform classification tasks using the completions endpoint.

Introduction

The Completions Endpoint

Miscellaneous Endpoints

APIs Integration in React

Conclusion

Appendix

Classification

Classification